DSpace Community:http://hdl.handle.net/10203/542652024-03-29T13:09:23Z2024-03-29T13:09:23ZSustainable digital transformation: research landscapes, dynamic capabilities, and key driversFeroz, Abdul Karimhttp://hdl.handle.net/10203/3078242023-06-21T19:33:08Z2022-01-01T00:00:00ZTitle: Sustainable digital transformation: research landscapes, dynamic capabilities, and key drivers
Authors: Feroz, Abdul Karim
Abstract: Digital transformation refers to the unprecedented disruptions in society, industries, and organizations stimulated by advances in novel digital technologies such as artificial intelligence (AI), big data and analytics, blockchain, cloud computing, social media and mobile technologies and the internet of things (IoT). Organizations digitally transform in order to survive in the increasingly competitive digital world. Digital transformation related disruptions are occurring in different dimensions of business operations and value chain processes. The nexus between sustainability and digital transformation offers new opportunities for creating and capturing ‘green value’. However, there is a lack of studies to map digital transformation in the sustainability domain and the factors that are driving those trends. Furthermore, sustainability alignment with digital transformation and how it can lead to sustainable digital transformation (SDT) remains unexplored as well. This thesis aims to fill these research gaps in the literature in three different studies.
In the first study of the thesis, we identify the disruptions driven by digital transformation in the environmental sustainability domain through a systematic literature review (SLR) technique. The results present a framework that outlines the transformations in four key areas: pollution control, waste management, sustainable production, and urban sustainability. The transformations in each key area are further divided into sub-categories. The first essay proposes an agenda for future research in terms of organizational capabilities, performance, and digital transformation strategy regarding environmental sustainability.
In the second study, by conducting a qualitative meta-synthesis (QMS) and survey, we define sustainable digital transformation (SDT) and identify dynamic capabilities for it. We build a conceptual framework that defines sustainable digital transformation as a “reconfiguration process of an organization’s core strategy to align novel digital technologies with sustainability goals”. A consensus of 52 experts in the field is reached on 19 capabilities using Delphi method. The dynamic capabilities outlined in this essay provide insights for organizations seeking to embark on sustainable digital transformation of their business models.
In the third study, we map the sustainability-digitalization convergence using science mapping and investigate how it can lead to sustainable digital transformation. We use case study approach to analyze the sustainability-digitalization convergence in top five performing countries on sustainable development goals (SDGs) index namely, Finland, Sweden, Denmark, Germany and, Belgium. We adopt a desk research method to review the secondary data and employ SALSA framework and qualitative content analysis (QCA) techniques to decipher the driving factors of sustainability-digitalization convergence in the case countries and identify factors for the transition toward sustainable digital transformation. Second, we use the data science technique, Social Network Analysis (SNA), to provide a visual picture of the sustainability-digitalization convergence in these countries. We analyze 25,540 relevant records to construct keyword network visualization and network density maps outlining the convergence.
This thesis makes contributions to theory and practice by researching the convergence between digital transformation and sustainability. We aim to contribute to the existing theory by developing a framework that shows how and where digital transformations are taking place in environmental sustainability, defining sustainable digital transformation, building dynamic capabilities for SDT, and identifying key drivers of sustainability-digitalization convergence. The results of this thesis can provide researchers with insights in the sustainability and digital transformation domains for more interdisciplinary research ideas in the future.
Findings from this thesis will help decision-makers in public and private enterprises to identify and to prioritize areas for investment. It could help firms develop and evolve their sustainable digital strategy, creating a ‘win-win’ situation for all stakeholders. For example, we discovered that digital technologies offer organizations unique opportunities to develop new business models that focus on the environment or adopt digital technologies to incorporate environmentally sustainable practices into the current business models. These cases could be a starting point for board room discussions regarding their strategic plans and related execution. Managers could initially focus on incremental changes such as the digitalization of sub-processes and mechanisms that can lead to the creation of better and sustainable business models.
Description: 학위논문(박사) - 한국과학기술원 : 글로벌IT기술대학원프로그램, 2022.8,[x, 107p :]2022-01-01T00:00:00ZAnalyses on digital financial services inclusion and adoption with cross-country macro panel and micro-level dataYergali, Berdibayevhttp://hdl.handle.net/10203/3078222023-06-21T19:33:07Z2022-01-01T00:00:00ZTitle: Analyses on digital financial services inclusion and adoption with cross-country macro panel and micro-level data
Authors: Yergali, Berdibayev
Abstract: This dissertation presents two sides of digital financial services inclusion in macro and microanalysis, dividing them into two sub-studies. The first study focused on identifying the determinants and growth of digital financial services inclusion through cross-country analysis using panel data. Also, there is a division of countries by income into three groups to understand the influence of variables and determine the main trends of these factors. The study identified five determinants from previous studies and six new additional factors, so 11 hypotheses were developed. Pooled OLS, LSDV, linear regression and sigmoid growth curve function are used as research models to test hypotheses. The study collected data two-years (2014 & 2017) for 123 countries. As a result, the study found that GDP per capita, number of ATM machines, basic skills, mobile coverage, mobile broadband, mobile device prices, political stability, control of corruption, online security and fixed broadband were all demonstrated at significant levels, and only a factor like an affordable mobile internet tariff did not show much importance in all research models. Overall, the adjusted r-squared values were greater than 0.8 in the pooled OLS and LSDV regressions, while the sigmoid growth curve function had 0.86 due to the training of each country's data in the neural network with TensorFlow by 20000 epochs. Moreover, the s-shaped growth function showed that most high-income countries are already in the final stages of DFS inclusion, while upper-middle and lower-middle income countries are in the early stages or only halfway through DFS inclusion.
The second study focuses on micro-level analysis, in particular, of the personal behavior of digital financial service users during a pandemic. The study used the UTAUT model, by extending with two constructs: fear of COVID-19 as a moderator and social isolation as a direct factor in determining behavioral intentions. A survey method is used, in which primary data is collected more than 400 participants aged 18 and over. This study uses structural equation modeling (SEM) to test constructs and hypotheses, analyze relationships, and determine the overall fit of the model. The study used factor analysis (EFA, CFA) and covariance-based SEM. As a result, the study found that all UTAUT constructs and social isolation positively influence behavioral intent and actual use of DFS during a pandemic. Testing the moderating role of COVID fear for other constructs plays a positive role, with the exception of the relationship between expected performance and behavior intensity and the relationship between behavioral intent and actual use.
Description: 학위논문(박사) - 한국과학기술원 : 글로벌IT기술대학원프로그램, 2022.2,[vii, 80 p. :]2022-01-01T00:00:00ZExploring intermediary’s capabilities and optimal conditions for global technology transfer partnerships between emerging and developed countriesPalaco Faeth, Ileanahttp://hdl.handle.net/10203/2944572022-04-15T07:46:16Z2021-01-01T00:00:00ZTitle: Exploring intermediary’s capabilities and optimal conditions for global technology transfer partnerships between emerging and developed countries
Authors: Palaco Faeth, Ileana
Abstract: Considerable efforts have attempted to clarify the nature of innovation intermediaries by studying stakeholders, mainly from developed countries, to determine their types, functions, and roles. Although prior studies acknowledge the critical importance these intermediaries represent in successful technology transfer, there is limited evidence focusing on the cross-border inter-organizational perspective, especially involving parties from emerging countries. This dissertation reports which capabilities are essential to an effective demand-driven inter-organizational global technology transfer (GTT) when a business deal is led by an innovation intermediary and involves an emerging-country recipient (ECR) and a developed-country source (DCS). The starting point assumes these two actors are not able to meet each other unless enabled through a technology transfer intermediary (TTI) during the termed networking stage which may progress into a matchmaking stage where both entities may negotiate a GTT partnership. The study performed a Real-time Delphi method which collected opinions from 74 experts from 12 countries and tested a list of 28 critical capabilities that could serve as an input for further empirical analysis. The findings allow pinpointing the differences in expectations from the different GTT stakeholders. The conceptual framework can be also applied to assess a TTI’s performance for a given GTT project in which the demand arises from an emerging-country stakeholder. The final part of the study is occupied with the GTT negotiation phenomena. After synthesizing the conditions that are relevant to the emerging-country party, the ECR; the study pursues to further explore optimal scenarios when assessing to confirm a GTT partnership. Stated preference data were collected from a sample of 147 Mexican new technology-based start-up firm’ CEOs and through a choice-based conjoint analysis (CBCA), an integrated list of GTT conditions was tested. This part of the study contributed to providing the utility value of each condition level and the relative importance of each dimension, which allows calculating the different optimal scenarios. The implications reported differences in the preferred conditions depending on project scale, or individual characteristics, i.e. familiarity with technology transfer projects. This part of the study discussed which conditions are preferred by technology transferees from emerging-country backgrounds (i.e. Mexico) and how TTIs could use a choice modeling technique (CBCA) to strategically manage the matchmaking stage and experimenting with different scenarios to understand and segment the emerging-country parties. The emerging-country focused GTT conditions and optimal scenarios contribute not only by producing inputs for further empirical studies but also in providing a unique approach by applying a technique not commonly used in the field of innovation management, to be able to explore scenarios and strategically segment the counterpart actors. This may allow practitioner TTIs to better deal with the demand-generating party (ECR) and effectively connect its need during the negotiation stage enabling the next level transaction: a potential GTT partnership.2021-01-01T00:00:00ZICT channel fitness to improve agricultural information delivery to farmers in developing countriesIbrarhttp://hdl.handle.net/10203/2944582022-04-15T07:46:16Z2021-01-01T00:00:00ZTitle: ICT channel fitness to improve agricultural information delivery to farmers in developing countries
Authors: Ibrar
Abstract: In farmer’s daily agricultural efforts, information seeking plays an important role to handle matters related to farming activities. It is important to provide quality agricultural information on time to enable farmers to increase their productivity. Therefore, many governments and international cooperation organizations around the world have tried to develop and disseminate quality agricultural information to farmers.
Correspondingly, various Information and Communication Technologies (ICTs) services have been set up in developing countries to disseminate information and farmers have been exposed to ICT services on the information. ICT on information is any ICT resource that allows farmers to access and utilize information on agriculture. Besides, the proliferation of the Internet and mobile devices has been recognized as a good ICT channel for delivering related information. The utilization of information disseminated by ICTs may improve the farmer's agricultural productivity.
Despite the wide use of ICT channels by farmers in developing countries, the effective utilization of information is far below the expectations. Farmers in developing countries are still not achieving high productivity due to channel incompatibility, and a lack of access to accurate, relevant, reliable, timely, and updated information. To fill the identified gaps in previous research, an investigation needed to be conducted on the issue of fitness (matching) among ICT channel utilization and information delivery by the Information-Channel-Fit (ICF) model that relies on Task-Technology Fit (TTF) as the base theory, and to examine the intention of farmers regarding continuous channel utilization.
To empirically estimate the proposed Information-Channel-Fit (ICF) model, a survey questionnaire was constructed and 265 usable feedbacks were collected from Pakistani farmers, and data were analyzed by Partial Least Square Structural Equation Modeling (PLS-SEM).
Obtained findings validated the whole model in reflecting the significant effect of information delivery characteristics and the ICT channel characteristics on Information-Channel-Fit, which further influences channel utilization for information delivered. Additionally, self-efficacy mediates the relationship between ICF and channel utilization, which means that farmer's attitude, experience, and skills enrich the degree of impact on ICT channel utilization. Education had a significant moderating effect on information delivery and self-efficacy for obtaining agricultural information.
The findings and the proposed model of the study could help ICTs providers, policymakers, agriculture extension officers, and administrators to develop more beneficial strategies in addressing difficulties faced by farmers in utilizing ICT for information access. Consequently, a further line of inquiry could be to collect data from those developing countries where farmers have the best strategies in place for the utilization of ICT channels. Similarly, the pilot programs need to be evaluated in developing countries, which not only evaluate the causal impact but also its mechanisms.2021-01-01T00:00:00Z